Chlorophyll-a retrieval of coastal waters based on in situ hyperspectral data

Wandong Ma; Ping Shi; Yuanzhi Zhang; Qianguo Xing; Jiakui Tang; Dongyan Liu

doi:10.1117/12.836325

9 October 2009 Chlorophyll-a retrieval of coastal waters based on in situ hyperspectral data

Wandong Ma, Ping Shi, Yuanzhi Zhang, Qianguo Xing, Jiakui Tang, Dongyan Liu

Proceedings Volume 7471, Second International Conference on Earth Observation for Global Changes; 74710U (2009) https://doi.org/10.1117/12.836325
Event: Second International Conference on Earth Observation for Global Changes, 2009, Chengdu, China

Abstract

The chlorophyll-a concentration is a major water quality parameter for coastal remote sensing. The water quality parameters of the Sishili Bay in Yantai's coastal region were obtained at the same time when the hyperspectral remote sensing data were in situ measured. According to the principle of the three-band model, the hyperspectral remote sensing data in situ measurements were averaged to the same band range of Medium Resolution Imaging Spectrometer (MERIS) (660-670nm, 703-713nm and 750-758nm) and Moderate Resolution Imaging Spectroradiometer (MODIS) (662-672nm and 743-753nm). The obtained results show that there was a good linear relationship between the chlorophyll-a concentration and simulated [(B₇^-1-B₉^-1)×B₁₀] of MERIS and [B₁₃^-1×B₁₅] of MODIS. The determination coefficients were 0.714 and 0.753 for the simulated MERIS and MODIS, with the root mean squared errors (RMSE) of 1.48μg•L^-1 and 1.38μg•L^-1, respectively. The result demonstrated that the three-band model could be applied to retrieve chlorophyll-a concentration in Yantai's coastal region even if the chlorophyll-a concentration was lower than 10μg•L^-1. However, MODIS and MERIS data still needs to examine mapping chlorophyll-a concentration of Yantai's coastal waters.

Citation Download Citation

Wandong Ma, Ping Shi, Yuanzhi Zhang, Qianguo Xing, Jiakui Tang, and Dongyan Liu "Chlorophyll-a retrieval of coastal waters based on in situ hyperspectral data", Proc. SPIE 7471, Second International Conference on Earth Observation for Global Changes, 74710U (9 October 2009); https://doi.org/10.1117/12.836325

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